Develop and optimize data infrastructures and trading systems, lead cross-functional projects, and mentor engineers in this senior role.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
As a Senior Software Engineer on our Back Office Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.
Your Team
We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
Responsibilities
- Design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like Python, Airflow, Go, and Apache Beam.
- Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations.
- Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems.
- Enhance the resilience, scalability, and performance of accounting and reporting systems to meet evolving business needs.
- Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings to ensure consistency and accuracy across systems.
- Lead complex, company-wide projects by collaborating cross-functionally with research, legal, trading, finance operations, data, and infrastructure teams to deliver comprehensive end-to-end accounting and reporting systems.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
- Guide and support the growth of other engineers on the team by mentoring them and sharing your expertise, best practices, and knowledge.
Requirements
- Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field.
- 7+ years of software engineering experience designing and building high-performance, reliable systems.
- Proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as Python.
- Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional collaboration.
- Demonstrated ability to mentor engineers and provide leadership in driving technical direction and system architecture.
Preferred Qualifications
- Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka).
- Experience with profiling and performance optimizations on distributed systems.
- Familiarity with modern Python data science tooling (pandas, polars, dask, duckdb, etc.).
- Experience with modern data engineering technologies.
Compensation
The base salary range for this position is $270,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Vaccination Requirement
The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
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Top Skills
Airflow
Apache Beam
Spark
Dask
Duckdb
Go
Kafka
Pandas
Polars
Python
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